Torsten Wik

3.0k total citations · 1 hit paper
104 papers, 2.4k citations indexed

About

Torsten Wik is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Torsten Wik has authored 104 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Automotive Engineering, 41 papers in Electrical and Electronic Engineering and 33 papers in Control and Systems Engineering. Recurrent topics in Torsten Wik's work include Advanced Battery Technologies Research (45 papers), Advancements in Battery Materials (31 papers) and Wastewater Treatment and Nitrogen Removal (19 papers). Torsten Wik is often cited by papers focused on Advanced Battery Technologies Research (45 papers), Advancements in Battery Materials (31 papers) and Wastewater Treatment and Nitrogen Removal (19 papers). Torsten Wik collaborates with scholars based in Sweden, China and United States. Torsten Wik's co-authors include Changfu Zou, Xiao Hu, Michael Pecht, Zhenpo Wang, Lei Zhang, Zhongbao Wei, Kang Li, Kailong Liu, Bo Egardt and Weiji Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Water Research.

In The Last Decade

Torsten Wik

96 papers receiving 2.3k citations

Hit Papers

A review of fractional-order techniques applied to lithiu... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Torsten Wik Sweden 24 1.6k 1.5k 502 169 135 104 2.4k
Rui Ma China 30 970 0.6× 1.8k 1.2× 612 1.2× 81 0.5× 38 0.3× 126 2.8k
Muhammad Ammirrul Atiqi Mohd Zainuri Malaysia 21 237 0.1× 1.0k 0.7× 537 1.1× 56 0.3× 58 0.4× 98 1.6k
Binyu Xiong China 22 1.5k 0.9× 1.9k 1.2× 390 0.8× 20 0.1× 301 2.2× 91 2.3k
Mathew Aneke United Kingdom 11 331 0.2× 787 0.5× 378 0.8× 82 0.5× 152 1.1× 18 1.9k
Gen Li China 27 490 0.3× 2.2k 1.4× 830 1.7× 26 0.2× 47 0.3× 150 2.7k
Zheng Zeng China 28 119 0.1× 2.0k 1.3× 960 1.9× 64 0.4× 37 0.3× 134 2.6k
M.A. Farahat Egypt 21 207 0.1× 857 0.6× 319 0.6× 109 0.6× 16 0.1× 65 1.5k
Cong Guan China 22 282 0.2× 342 0.2× 344 0.7× 25 0.1× 156 1.2× 41 1.5k
Ssennoga Twaha United Kingdom 19 176 0.1× 823 0.5× 290 0.6× 422 2.5× 72 0.5× 26 2.2k

Countries citing papers authored by Torsten Wik

Since Specialization
Citations

This map shows the geographic impact of Torsten Wik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Torsten Wik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Wik more than expected).

Fields of papers citing papers by Torsten Wik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torsten Wik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Torsten Wik. The network helps show where Torsten Wik may publish in the future.

Co-authorship network of co-authors of Torsten Wik

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Wik. A scholar is included among the top collaborators of Torsten Wik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Torsten Wik. Torsten Wik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ouyang, Quan, et al.. (2025). Mathematical Modeling for Reconfigurable Battery Systems With Parallel–Series Connections. IEEE Transactions on Control Systems Technology. 34(1). 186–202.
2.
Wik, Torsten, et al.. (2024). Scenario-Aware Machine Learning Pipeline for Battery Lifetime Prediction*. Chalmers Research (Chalmers University of Technology). 212–217. 1 indexed citations
4.
Wik, Torsten, et al.. (2024). Parametric Sensitivity Analysis of the Modified AMOCO Model for an Anaerobic Digester. Chalmers Research (Chalmers University of Technology). 1–5. 1 indexed citations
5.
Wik, Torsten, et al.. (2024). Machine learning-based lifelong estimation of lithium plating potential: A path to health-aware fastest battery charging. Energy storage materials. 74. 103877–103877. 6 indexed citations
6.
Wik, Torsten, et al.. (2024). Synthetic dataset of LG M50 batteries with different degradation pathways. Data in Brief. 57. 111076–111076.
7.
Ouyang, Quan, Nourallah Ghaeminezhad, Yang Li, Torsten Wik, & Changfu Zou. (2024). Hypergraph-Based Unified Model Development for Active Battery Equalization Systems. Chalmers Research (Chalmers University of Technology). 2218–2223. 2 indexed citations
8.
Wik, Torsten, et al.. (2023). Practical battery State of Health estimation using data-driven multi-model fusion. IFAC-PapersOnLine. 56(2). 3776–3781. 1 indexed citations
9.
Wu, Xiaohua, et al.. (2023). Model optimization of a high-power commercial PEMFC system via an improved grey wolf optimization method. Fuel. 357. 129589–129589. 38 indexed citations
10.
Li, Yang, Torsten Wik, Changjun Xie, et al.. (2021). Control-Oriented Modeling of All-Solid-State Batteries Using Physics-Based Equivalent Circuits. IEEE Transactions on Transportation Electrification. 8(2). 2080–2092. 17 indexed citations
11.
She, Chengqi, Yang Li, Changfu Zou, et al.. (2021). Offline and Online Blended Machine Learning for Lithium-Ion Battery Health State Estimation. IEEE Transactions on Transportation Electrification. 8(2). 1604–1618. 87 indexed citations
12.
Wik, Torsten, et al.. (2017). Adaptive Hysteresis Compensation Using Reduced Memory Sequences. IEEE/ASME Transactions on Mechatronics. 22(5). 2296–2307. 4 indexed citations
13.
Wik, Torsten, et al.. (2017). Theoretical bounds on the accuracy of state and parameter estimation for batteries. Chalmers Research (Chalmers University of Technology). 4035–4041. 15 indexed citations
14.
Wik, Torsten, et al.. (2014). Convex identification of models for asymmetric hysteresis. Chalmers Research (Chalmers University of Technology). 372. 4753–4758. 1 indexed citations
15.
Wik, Torsten, et al.. (2011). An online method for estimation of degradable substrate and biomass in an aerated activated sludge process. Water Research. 45(19). 6308–6320. 10 indexed citations
16.
Breitholtz, Claes, et al.. (2006). On the infinite-time solution to state-constrained stochastic optimal control problems. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
17.
Persson, Frank, Torsten Wik, Fred Sörensson, & Malte Hermansson. (2002). Distribution and activity of ammonia oxidizing bacteria in a large full-scale trickling filter. Water Research. 36(6). 1439–1448. 52 indexed citations
18.
Wik, Torsten. (1997). Modelling dynamics of nitrifying trickling filters and ammonium meters. Chalmers Publication Library (Chalmers University of Technology). 3 indexed citations
19.
Wik, Torsten & Claes Breitholtz. (1996). Steady-state solution of a two-species biofilm problem. Biotechnology and Bioengineering. 50(6). 675–686. 25 indexed citations
20.
Wik, Torsten, et al.. (1994). Modelling the dynamics of a trickling filter for waste water treatment. Chalmers Research (Chalmers University of Technology). 1035–1040 vol.2. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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